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Dimitrios V. Lyridis Nikolaos P. Ventikos Panayotis G. Zacharioudakis Konstantinos Dilzas Harilaos N. Psaraftis 《WMU Journal of Maritime Affairs》2005,4(1):33-55
This paper proposes a tool to estimate crew composition based on safety/operational and financial requirements. As there is
a tendency of ship owners to implement improved technologies on board their vessels, there is no systematic way to predict
their potential effect on crew size and composition (typically determined by flag state authorities on a case-to-case basis)
nor on the type and complexity of on board duties new technologies might dictate. The main aim of this paper is to develop
a tool to assist in determining crew composition, by taking into account both administration’s and the ship owner’s point
of view. Based on data collected from ship owners, a data mining technique is implemented in order to form a generalized framework
that estimates crew composition as a function of ship type, size, and degree of automation. The agreement of model predictions
with records from specific (vessel) cases is very good in terms of safety (for operations such as watchkeeping, mooring/unmooring,
loading/unloading). The specific intended use of this tool is to help a ship owner decide whether it is cost-beneficial to
retrofit a conventional vessel with advanced technologies that would potentially entail a reduced crew (probably dealing with
different and more complex on board duties). Its main benefits are that it can be used to estimate crew composition before
any vessel construction or upgrade has actually taken place and that it allows crew composition to be easily adapted to the
technological evolution of ship systems even at their current rapid pace. 相似文献
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